This package is a proof-of-concept and illustration of how we
can post-process the output of R's graphics from cairo's
SVG generation.
We can read the resulting plots back into R and
make the plots interactive and dynamic in simple ways
such as

add tooltips,

add hyperlinks,

animate the plots,

implement simple linking,

add CSS information to an SVG document

and generally use SVG's rich facilities.

See some examples.
These are best viewed using the Opera
Web browser.
Alternatively, use Firefox but the animations won't work.
The stand-alone SVG viewer Batik can also be used.

In addition to rendering R plots, one can use SVG to
create quite sophisticated interactive displays.
There is an interesting collection
of examples that combine SVG and ECMAscript
at
http://www.carto.net/papers/svg/samples/#jscr.
For example,

Additionally, there is a collection of JavaScript and SVG-based
widgets.

This is a quite different approach from Tony Plate's RSVGTipDevice
(which builds on Jake Luciani's RSvgDevice).
Firstly, this uses R's interface to cairo for rendering.
However, we could do the same high-level post-processing
using RSVGTipDevice or RSvgDevice.
But more importantly, we are identifying elements of
the plots after R has created them. We do not have
to set global variables for specifying tooltip text
and then draw rectangles, circles, text, polygons, etc.
Instead, we draw the plot as usual, and then we examine
the result and enhance it.
This means we can use any functionality in R for creating
a plot without have to adapt it.
The hard part is to identify the elements in the result.
But for many common plots, this is not too difficult.

This is part of a book Deb Nolan and I are writing
on Web Technologies for statistics and R.
We are also working on visualization via

Google Earth and KML,

Flash, Flex and MXML

and presenting dynamic interactive
results via Open Office XML using
Microsoft Office, K Office, Open Office, etc.
The mindset is that we as a field have a
lot of opportunity to move to richer, more interactive
and dynamic visualization methods not just for
data analysis, but also presentation of the results.